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CVE-2026-10579 – SAML Authentication Bypass – Red Hat JBoss EAP 7 (PicketLink Federation)

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Summary

CVE-2026-10579 is a critical authentication bypass vulnerability in the PicketLink Federation SAML implementation shipped with Red Hat JBoss Enterprise Application Platform 7. The unsolicited SAML response handler accepts forged assertions without verification or validation, allowing an unauthenticated, network-based attacker to impersonate any user with arbitrary privileges. Red Hat rates the flaw Critical with a CVSS v3.1 base score of 9.8.

Technical details

  • Root cause: The PicketLink Federation SAML unsolicited-response handler accepts forged assertions with no signature verification, issuer validation, or audience restriction checks.
  • Trigger conditions: An attacker submits a crafted, unsolicited SAML response containing a forged assertion to a PicketLink-federation SAML service provider endpoint.
  • Attack vector: Network (AV:N), no authentication and no user interaction required.
  • Impact: Authentication bypass enabling impersonation of any user with arbitrary roles, leading to unauthorized access, information disclosure, and privilege escalation.

Affected software

  • Red Hat JBoss Enterprise Application Platform 7 (PicketLink Federation / picketlink-federation component) — affected.
  • Red Hat JBoss Enterprise Application Platform 8 — not affected.

Severity

  • CVSS v3.1 base score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Apply the security updates published by Red Hat for JBoss EAP 7 as they become available, and monitor the Red Hat CVE page and associated advisories for the fixed release.
  • If no patch is available: Restrict network access to PicketLink-federation SAML service provider endpoints to trusted networks and identity providers only, until the update can be applied.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Named response header (Server): JBoss-EAP/
  • Raw response body: Welcome to JBoss EAP

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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